IBM watsonx.data – a modern open data lakehouse architecture, built on Presto!

Today we are happy to share that IBM watsonx.data, a Presto-based Open Data Lakehouse architecture, is now generally available. Back in April we shared that IBM had joined the Presto Foundation through the acquisition of Ahana. To reiterate what we talked about then, we believe that this is an exciting time for the Presto open…

Recapping PrestoCon Day 2023 – Presto for the Data Lakehouse, Presto at scale

Just a few weeks ago we hosted PrestoCon Day, our annual virtual community conference. Thank you to everyone who attended – it was an awesome day! We had a fantastic agenda with many Presto users sharing why they chose Presto and how they’re using it to power some pretty sizable workloads. Sign up for the…

A recap of PrestoCon 2022 – Bringing Data Lakehouse Analytics to Life (plus a special video recap)

Last month the Computer History Museum in Mountain View, California, reverberated with “all things Presto,” at our PrestoCon 2022 conference. Back for the third time—and the first time post-pandemic—PrestoCon was ground zero for training, knowledge sharing, and inspiration about the open-source Presto for data analytics and lakehouses, as well as for the vibrant Presto community….

Is PrestoDB the most popular Open Source Data Analytics project?

The Presto Foundation is thrilled to announce that today Presto has been awarded “2022 Editors Choice for Top 3 Data and AI Open Source Projects to Watch” from BigDATAwire. Past winners are a true who’s who in the data world including Apache Spark (2020), Apache Kafka (2018), MongoDB (2019), Apache Cassandra, ElasticSearch and Redis (2021)….

Presto Parquet Column Encryption

Introduction Apache Parquet modular encryption provides encryption at-rest and in-transit at finer-grained. In big data world, data analytic tables are usually very wide with hundreds of columns, while only a small number of columns need to be protected. So the finer-grained access control is a better fit than coarse-grained one like table level access control….

Faster Presto Queries with Parquet Page Index

Introduction Today’s data is growing very fast, which creates challenges for query engines like Presto. Presto is a popular interactive query engine, because of its scalability, high performance, and smooth integration with Hadoop. As the volume of data grows, Presto needs to read larger chunks of data and load them into memory, which causes higher…